vmlelud - ELU activation (first derivative)

4.32 vmlelud - ELU activation (first derivative)

subroutine vmlelud(n, y, incy, a, b, c, d, x, incx) 
subroutine vmleludf(n, y, incy, a, b, c, d, x, incx) 
 
subroutine vmlelud_64(n, y, incy, a, b, c, d, x, incx) 
subroutine vmleludf_64(n, y, incy, a, b, c, d, x, incx)

Given an input vector $x$ , a result vector $y$ and constants $λ$ and $α$ this function computes the first derivative of the Exponential Linear Unit (ELU) activation function of the values in the $x$ vector and stores the result in the $y$ vector.

.{ 1 wherex >0 y = αexp(x) wherex ≤0

4.32.1 Parameters

N - INTEGER: ENTRY: Number of elements of $x$ and $y$ .
CONSTRAINT: $n ≥1$ .
Y - ARRAY OF REAL: EXIT: Result vector $y$ .
CONSTRAINT: Must contain $n× incy$ elements.
CONSTRAINT: Must not overlap with array $x$ .
INCY - INTEGER: ENTRY: Stride for the vector $y$ .
CONSTRAINT: $incy̸= 0$ .
BEHAVIOR: A negative stride will traverse the array in reverse.
A - REAL: ENTRY: Constant $a$ .
X - ARRAY OF REAL: ENTRY: Input vector $x$ .
CONSTRAINT: Must contain $n× incx$ elements.
CONSTRAINT: Must not overlap with array $y$ .
INCX - INTEGER: ENTRY: Stride for the vector $x$ .
CONSTRAINT: $incx̸= 0$ .
BEHAVIOR: A negative stride will traverse the array in reverse.

[next] [prev] [prev-tail] [front] [up]